Living landscape

Enterprise AI Adoption

Explore documented AI business activity, including adoption, partnerships and deployments—and see what each source actually establishes.

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Use this matrix to compare published evidence—not to rank organisations or products. Each detailed claim links to its supporting wiki entry. Documented means that a source reported it, not that the wiki independently verified a causal outcome.

Business questionTecbanGitLabAtlassianIntuit
What was rolled out
  • Microsoft's customer story says Tecban adopted Microsoft 365 Copilot and GitHub Copilot, recorded 98 use cases, completed 35, and onboarded more than 3,000 users.Vendor-reported · Read entry 1
No source-linked detail in this snapshotNo source-linked detail in this snapshotNo source-linked detail in this snapshot
Business workflow
  • The case illustrates scaled adoption in a regulated banking environment, not a controlled causal estimate of Copilot's impact.Vendor-reported · Read entry 1
  • Anthropic's customer story says GitLab piloted Claude for Work internally for RFP responses, marketing content, technical documentation, small internal tools, and data analysis.Vendor-reported · Read entry 1
  • Atlassian uses Claude for complex and long-running workflows in Rovo Chat, Rovo CLI, and early-access Rovo Max, while Claude Code is used within engineering and was piloted in non-technical teams.Vendor-reported · Read entry 1
  • Its April 2026 engineering account says the system used Anthropic Claude 3.5 Sonnet to generate review suggestions, alongside separate quality checks.Source-reported · Read entry 1
No source-linked detail in this snapshot
Reported resultNo source-linked detail in this snapshot
  • It reports that 98% of surveyed GitLab team members were satisfied or very satisfied and cites 25–50% productivity gains during the initial pilot.Vendor-reported · Read entry 1
  • Atlassian reported a 30.8% reduction in median pull-request cycle time with its Claude-backed Rovo Dev Code Reviewer and 35.6% fewer human-written review comments.Source-reported · Read entry 1
No source-linked detail in this snapshot
Measurement basis
  • The story also reports an estimated 30% development productivity gain and 14% testing gain.Vendor-reported · Read entry 1
No source-linked detail in this snapshotMeasurement basis included in reported result aboveNo source-linked detail in this snapshot
Limits and unknownsNo source-linked detail in this snapshot
  • The page does not state the survey sample, productivity baseline, or calculation method, so they should not be generalised to GitLab's entire workforce.Vendor-reported · Read entry 1
  • The same story reports millions of Rovo Chat users but does not provide a controlled measure of Claude-specific productivity or customer outcomes.Vendor-reported · Read entry 1
  • Anthropic's customer story says more than five million AI agents ran in customer business workflows in one month, but does not attribute all those executions to Claude; Rovo uses multiple models.Vendor-reported · Read entry 1
  • It does not independently validate the adoption scale in Anthropic's customer story, nor establish a Claude-specific productivity outcome.Adopter-published · Read entry 1
No source-linked detail in this snapshot

Not directly comparable: reported results may use different measures, populations, baselines, methods or dates. Read each measurement basis and source before drawing a conclusion.

Snapshot classificationsContext, not cited per-cell claims

These classifications summarise each entity dossier; they are not individually cited claims. Open a linked claim above for source-specific detail.

ClassificationTecbanGitLabAtlassianIntuit
Adoption stageProductionPilotingProductionUnknown
Business functionsNot establishedSales MarketingNot establishedNot established
Outcome categoriesProductivityProductivityCycle TimeNot established
Source date2026-06-022026-09-022026-08-282026-05-21
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